Forward Deployed Engineer

Weekday AI (YC W21); Bengaluru; On-site; INR 2,800,000 - 4,800,000; Full time

Job summary

Weekday AI in Bengaluru is seeking a Forward Deployed Engineer to own end-to-end voice AI deployments, blending customer discovery, solution design, hands-on programming, deployment, and optimization.

You will translate business workflows into production-ready integrations, work closely with customers, and build reliable API integrations using Python, FastAPI, and modern cloud tech in a fast-moving environment.

Qualifications

• Must-have: Python, REST API, FastAPI, and API engineering.
• Hands-on experience with building production-grade REST API integrations.
• Experience working directly with customers or business stakeholders.

Responsibilities

• Lead customer discovery and workflow mapping to understand business requirements and operational processes.
• Design and implement technical solutions for production voice AI deployments.
• Build and maintain API integrations with customer systems and third-party services.
• Develop simulations and prototypes to validate workflows and solution performance.
• Manage deployments from initial implementation through production launch.
• Monitor production systems, troubleshoot issues, and optimize performance and reliability.
• Work closely with customers and internal teams to resolve technical challenges and ensure successful adoption.
• Own technical handoff and documentation once deployments are operational.
• Build scalable integrations and automation using Python and modern API technologies.
• Collaborate across engineering, product, and customer-facing teams to continuously improve deployed solutions.

Skills

Python

API engineering

REST API

FastAPI

Tools

Docker

AWS

Go

TypeScript

LLM APIs

Job description

Job Description:

This role is for one of Weekday’s clients

Min Experience: 2+ years
Location: Bengaluru
JobType: full-time

We are looking for a Forward Deployed Engineer to own the end-to-end delivery of production-grade voice AI deployments. This role combines customer discovery, technical solution design, hands-on engineering, deployment, and ongoing optimization.

The ideal candidate should be highly comfortable working directly with customers, translating business workflows into technical solutions, and building reliable integrations in fast-moving production environments.

Key Responsibilities

• Lead customer discovery and workflow mapping to understand business requirements and operational processes.
• Design and implement technical solutions for production voice AI deployments.
• Build and maintain API integrations with customer systems and third-party services.
• Develop simulations and prototypes to validate workflows and solution performance.
• Manage deployments from initial implementation through production launch.
• Monitor production systems, troubleshoot issues, and optimize performance and reliability.
• Work closely with customers and internal teams to resolve technical challenges and ensure successful adoption.
• Own technical handoff and documentation once deployments are operational.
• Build scalable integrations and automation using Python and modern API technologies.
• Collaborate across engineering, product, and customer-facing teams to continuously improve deployed solutions.

Required Skills & Qualifications

• Strong proficiency in Python and API engineering.
• Hands-on experience building and integrating REST APIs.
• Strong experience with FastAPI or similar Python web frameworks.
• Experience working directly with customers or business stakeholders on technical implementations.
• Ability to translate business workflows and requirements into production-ready technical solutions.
• Strong troubleshooting and problem-solving capabilities.

Good-to-Have Skills

• Experience working with Large Language Models (LLMs) and LLM APIs.
• Familiarity with structured outputs and function/tool calling.
• Working knowledge of TypeScript.
• Ability to read, understand, or make minor changes to Go code.
• Experience with Docker and containerized deployments.
• Exposure to AWS or other cloud infrastructure.
• Experience with voice AI, conversational AI, or AI-powered workflow automation.

Ideal Candidate

The ideal candidate is a hands‑on engineer who thrives in customer‑facing environments and enjoys solving ambiguous, real‑world technical problems. You should be comfortable moving from discovery and workflow design to coding, integrations, deployment, monitoring, and production handoff.

Must-Have Skills

• Python
• REST API
• FastAPI
• API Engineering

Good-to-Have Skills

• Large Language Models
• TypeScript
• AWS
• Docker
• Go
• LLM APIs

Requirements: